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Streamlit VS Hoverify

Compare Streamlit VS Hoverify and see what are their differences

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  4. ยป Alternatives

Streamlit logo Streamlit

Turn python scripts into beautiful ML tools

Hoverify logo Hoverify

All-in-one browser extension to improve your web dev experience.
  • Streamlit Landing page
    Landing page //
    2023-10-07
  • Hoverify Landing page
    Landing page //
    2023-08-23

Tools to make your web dev life a bit easy.

โญ Inspector 1) Inspect CSS and HTML just by hovering over the element. 2) Live edit CSS and HTML. 3) Export code to Codepen. 4) Inspect media queries and animations. 5) Edit the content of any HTML element. 6) Traverse DOM elements with arrow keys. 7) Know fonts per tag. 8) Finds font on Google Fonts. 9) Extract all the colors used on the page. 10) Toggle visibility of any element or remove an element from the page and persist changes.
11) Easily search elements by tag, class, or id.

โญ Color Eyedropper 1) Pick colors from anywhere on the page, even images and IFrames. 2) Get hex and RGB values. 3) Save colors.

โญ Assets 1) Extract images, SVGs, and videos from the page. 2) Download all the assets at once in ZIP.

โญ Responsive 1) Any click, scroll, or navigation you perform in one device will be replicated to all devices in real-time. 2) Add new custom device profiles as you like and arrange devices to fit your style. 3) Hot-Reloading Support.

โญ Debug 1) Clear cache, cookies, and local storage of specific origin or whole browser. 2) Get meta tags from the page and copy them with one click. 3) Check the whole page for spelling mistakes (Only supports English).

โญ Screenshots 1) Take a screenshot of the whole page or just a visible area. 2) Screenshot the visible area of every tab with just one click. 3) Save the screenshot in PDF, JPG, or PNG.

Streamlit

Website
streamlit.io
Pricing URL
Official Streamlit Pricing
$ Details
Platforms
-
Release Date
-
Edit details

Hoverify

Website
tryhoverify.com
Pricing URL
Official Hoverify Pricing
$ Details
paid $30 / One-off
Platforms
Browser Google Chrome Brave
Release Date
2020 March
Edit details

Streamlit features and specs

  • Ease of Use
    Streamlit's API is extremely intuitive and easy to learn, which makes it accessible for developers of varying experience levels. The simplicity allows for rapid development and less time spent on complex front-end coding.
  • Interactive Widgets
    It provides a set of interactive widgets that make it simple to add complex functionalities like sliders, buttons, and file uploaders to your application with minimal code.
  • Real-time Feedback
    Streamlit supports real-time data updates, allowing users to see changes instantly. This is particularly useful for data analysis and machine learning applications where live data visualization is crucial.
  • Integration with Machine Learning Libraries
    Streamlit integrates seamlessly with popular machine learning libraries like TensorFlow, PyTorch, and scikit-learn, making it a great tool for showcasing machine learning models and results.
  • Open Source
    Being an open-source project, Streamlit is free to use and comes with the support and contributions of an active community. This means continuous improvements and a wealth of shared resources.

Possible disadvantages of Streamlit

  • Limited Customization
    Streamlit offers limited customization options compared to traditional web frameworks. This can be a hindrance if you need a highly customized UI/UX for your application.
  • Performance Issues
    For more complex or resource-intensive applications, Streamlit may suffer from performance drawbacks. It is not designed for high-performance computing out of the box.
  • Scalability
    Streamlit is not well-suited for large-scale applications requiring major backend architecture or for scenarios demanding high scalability and concurrency.
  • Limited Widget Style Options
    The styling and customization options for widgets are somewhat limited, meaning your application's look and feel might be more constrained compared to using other front-end frameworks.
  • Deployment Complexity
    While Streamlit provides some deployment options, deploying Streamlit apps in a production environment can sometimes require additional effort and knowledge, especially for those unfamiliar with web deployment practices.

Hoverify features and specs

  • Ease of Use
    Hoverify offers a user-friendly interface, making it easy for both developers and non-developers to inspect and debug web pages quickly.
  • All-in-One Tool
    It combines multiple functions such as inspecting elements, debugging, taking screenshots, and more, reducing the need to switch between different tools.
  • Efficiency
    Speeds up the workflow by providing quick access to various web development tools in a single extension.
  • Browser Integration
    Seamless integration with popular web browsers allows for instant access and convenience without leaving the browser window.
  • Updates and Support
    Regular updates and responsive customer support ensure that users have the latest features and help when needed.

Possible disadvantages of Hoverify

  • Price
    Hoverify is a paid tool, which may not be ideal for freelancers or developers working on a tight budget.
  • Browser Limitation
    Currently, Hoverify may only be available for certain browsers, limiting its usability for developers who use multiple browsers.
  • Learning Curve
    Though it is user-friendly, new users may still face a learning curve in mastering all its features and functionalities.
  • Performance
    Being an extension, it may impact the performance of the browser, especially when multiple tabs or other heavy extensions are in use.
  • Limited Offline Use
    Certain features may require an active internet connection, limiting its functionality in offline scenarios.

Analysis of Streamlit

Overall verdict

  • Overall, Streamlit is well-regarded for its ease of use, speed of development, and ability to create clean and professional-looking applications without in-depth web development knowledge. It provides a seamless bridge between complex data analysis and user-friendly presentation, which can be highly beneficial for a wide range of use cases.

Why this product is good

  • Streamlit is a popular choice for quickly building and deploying data applications and interactive dashboards with minimal code. It is designed to be user-friendly, allowing data scientists and engineers to transform their scripts into shareable web apps. It supports real-time updates, is highly customizable, and integrates well with Python libraries like NumPy, Pandas, and Matplotlib, making it an attractive option for many developers working within the Python ecosystem.

Recommended for

    Streamlit is ideal for data scientists, analysts, and developers looking to rapidly prototype and deploy data-driven applications. It is recommended for those who prioritize simplicity, quick deployment, and seamless integration with Python code. Individuals or teams interested in building dashboards, ML model sharing platforms, or interactive reports will find Streamlit particularly useful.

Analysis of Hoverify

Overall verdict

  • Hoverify is generally well-received by users for its comprehensive feature set and ease of use. It adds value by consolidating tools that are typically scattered across different extensions or platforms, making it a good choice for those who frequently conduct web development tasks.

Why this product is good

  • Hoverify is a browser extension designed to improve web development workflows with features like inspecting CSS and HTML, capturing screenshots, measuring elements, and more. It provides a simplified interface and integrates multiple tools into one, making it a favorite among developers seeking efficiency.

Recommended for

  • Web developers seeking an all-in-one tool for inspecting and debugging web pages.
  • Designers who require a quick way to capture and measure elements on a webpage.
  • Teams that benefit from streamlined workflows and need tools that enhance productivity.

Streamlit videos

+ Add

My thoughts on web frameworks in Python and R (PyWebIO vs Streamlit vs R Shiny)

More videos:

  • Review - 1/4: What is Streamlit
  • Tutorial - How to Build a Streamlit App (Beginner level Streamlit tutorial) - Part 1

Hoverify videos

+ Add

Hoverify Extension Review - Inspect, Image Download, Color Picker, and More

Category Popularity

0-100% (relative to Streamlit and Hoverify)

Streamlit

Hoverify

Developer Tools
76 76%
Developer Tools
24% 24
Productivity
88 88%
Productivity
12% 12
Design Tools
0 0%
Design Tools
100% 100
AI
100 100%
AI
0% 0

User comments

Share your experience with using Streamlit and Hoverify. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Streamlit seems to be more popular. It has been mentiond 220 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Streamlit mentions (220)

  • How I Bypassed Reddit's Unauthenticated RSS Rate Limits (Without an API Key)
    I wrapped the logic in a small, single-process Streamlit app that pulls the newest posts from Hacker News, Reddit, and Lemmy into one sortable table. A few implementation details worth mentioning:. - Source: dev.to / 14 days ago
  • Adding Authentication and SSO to a Streamlit App
    Streamlit makes it simple to turn Python scripts into shareable data apps. As these apps move from personal notebooks to team and company use, adding secure authentication and single sign-on (SSO) becomes essential. Authentication protects sensitive data and gates features by user identity. SSO lets people sign in once and move across apps without repeating logins. - Source: dev.to / 5 months ago
  • How I trained a computer vision model on the AWS Free Tier
    The app I built to explore that question is a Streamlit app with two modes. Standard mode sends your image to the DetectLabels API and checks if it returns "Egg" or "Easter Egg" in the labels. Custom Labels mode uses a custom model I trained on my own images. Both draw bounding boxes around any eggs they find. - Source: dev.to / 5 months ago
  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Once you've completed your analysis, consider building a dashboard to visualize your findings. Tools like Streamlit make it easy to create interactive web apps:. - Source: dev.to / 6 months ago
  • [TIL][Python] Python Tool for Online PDF Viewing, Comparison, and Data Import
    Title: [TIL][Python] Online PDF Page-by-Page Viewing and Comparison Tool for Importing Data (Python online PDF Viewer and comparison) and Python Snippets Published: false Date: 2023-08-04 00:00:00 UTC Tags: Canonical_url: http://www.evanlin.com/til-python-tips/ --- ## Small Project: Online PDF Viewer and Parse Data compare: -... - Source: dev.to / about 3 years ago
View more

Hoverify mentions (0)

We have not tracked any mentions of Hoverify yet. Tracking of Hoverify recommendations started around Mar 2021.

What are some alternatives?

When comparing Streamlit and Hoverify, you can also consider the following products

Anvil.works - Build seriously powerful web apps with all the flexibility of Python. No web development experience required.

SuperDev Pro - 14-in-1 browser extension developers and designers love.

FastAPI - FastAPI is an Open Source, modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.

CSS Scan - Instantly check or copy computed CSS from any element for only ~95$

Gradio - Build & share machine learning apps delightfully.

CSS Scan Pro - The easiest way to get and edit the CSS of any website, live

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